Tom Vodopivec is a Ph.D. student-assistant. His research is focused on Monte Carlo Tree Search and Reinforcement Learning methods, while his interests also comprise Evolutionary Computation, Neural Networks, Game Theory, Parallel Processing, and Machine Learning approaches in general.